Principal/Lead Support Engineer

CelerData

San Francisco (CA)

Hybrid

USD 150,000 - 200,000

Full time

14 days+

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Job summary

A data analytics company based in San Francisco is seeking a Principal or Lead Support Engineer to provide technical assistance and optimize customer success. The ideal candidate should have over 10 years of experience in technical support or customer success, expertise with analytical databases, and the ability to resolve complex issues efficiently. This role offers a salary range between $150,000 and $200,000 annually.

Qualifications

10+ years in a technical support, customer success, or engineering role, ideally with data analytics or database technologies.
Experience with analytical databases and strong SQL skills.
Ability to troubleshoot issues in a Linux environment.

Responsibilities

Collaborate with customers to ensure successful deployment of their projects into production.
Diagnose and resolve customer issues.
Provide actionable advice to customers on optimizing CelerData deployments.

Skills

Technical support

Customer success

SQL

Figuring out complex issues

Communication

Mentoring

Tools

Linux

Apache Kafka

AWS

GCP

Databricks

Job description

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Direct message the job poster from CelerData

At CelerData, we empower organizations to unlock the full potential of their data with our next-generation, cloud-native, high-performance analytical database built for modern lakehouse architecture. Challenging the status quo set by products like Snowflake, ClickHouse, and Trino, we’re driving the future of data analytics by delivering unparalleled query performance and a streamlined architecture for enterprises worldwide. Join us to help customers transform their data into actionable insights and achieve exceptional technical success.

Job Overview

We’re seeking a Principal or Lead Support Engineer to deliver exceptional technical assistance to CelerData customers, resolving issues, optimizing performance, and driving customer success. This role combines deep technical expertise with a customer-first mindset to troubleshoot, educate, and influence product improvements based on real-world usage.

Key Responsibilities

Go-live Support: Collaborate with customers to ensure successful deployment of their projects into production and help them quickly realize the value of CelerData product.
Issue Resolution: Diagnose and resolve customer issues—ranging from query performance bottlenecks to integration challenges—when using CelerData’ products.
Technical Guidance: Provide actionable advice to customers on optimizing CelerData deployments, including configuration tuning, data modeling, and integration with tools like Apache Kafka or BI platforms.
Case Documentation: Maintain detailed records of support cases—capturing use cases, technical issues, and resolutions—to improve support processes and inform product enhancements.
Customer Escalation Handling: Act as a point of escalation for complex issues, collaborating with engineering teams to deliver timely, effective solutions under SLAs.
Feedback Loop: Gather and usage insights, partnering with product and engineering teams to refine CelerData’ capabilities and address recurring pain points.
Knowledge Sharing: Create and update support resources—like troubleshooting guides, FAQs, and best-practice articles—to empower customers and streamline issue resolution.
Mentoring and Coaching: Foster team members’ technical growth through knowledge sharing, code reviews, and hands-on guidance. Conduct regular team training sessions and performance feedback to elevate overall support quality.
Process Improvement: Analyze support trends and metrics to identify opportunities for process enhancements and proactive customer outreach.

Qualifications

Ambition & Curiosity: A driven, inquisitive mindset—eager to learn CelerData product’s intricacies, tackle tough challenges, and grow into the role, even if starting with less experience or specific skills.
Experience: 10+ years in a technical support, customer success, or engineering role, ideally with data analytics or database technologies.
Technical Expertise:
Experience with analytical databases (e.g., CelerData/StarRocks, ClickHouse, Snowflake, Databricks) and strong SQL skills.
Ability to troubleshoot issues in a Linux environment across multiple layers (e.g., network, storage, security).
Ability to troubleshoot issues in OLAP systems (e.g., query performance, data ingestion).
Familiarity with distributed systems, cloud platforms (AWS, GCP, Azure), and data tools (e.g., Kafka, Flink, Tableau).
Communication Skills: Proven ability to communicate technical solutions clearly to diverse audiences, from data engineers to IT managers.
Problem‑Solving: Adept at diagnosing complex issues under pressure and delivering root-cause resolutions.
Collaboration: Experience working with engineering teams to escalate and resolve issues or influence product development.
Leadership: Proven track record of mentoring or leading junior engineers, with a player‑coach mindset—balancing direct technical work with team development.
Processes: Experience improving support processes, such as implementing SLAs, automation tools, or CI/CD pipelines for issue resolution.